AIMC Journal:
Computer methods and programs in biomedicine

Showing 841 to 850 of 863 articles

S-Net: A novel shallow network for enhanced detail retention in medical image segmentation.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: In recent years, deep U-shaped network architectures have been widely applied to medical image segmentation tasks, achieving notable successes. However, the inherent limitation of this architecture is that multiple down-samp...
Diagnostic Imaging Algorithms Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Hierarchical neural networks are pivotal in medical imaging for multi-scale representation, aiding in tasks such as object detection and segmentation. However, their effectiveness is often limited by the loss of intra-scale ...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Semantics Brain Neoplasms Machine Learning Diagnostic Imaging
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Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method in clinical practice for cardiovascular diseases. The potential correlation between interlead signals is an important reference for clinical diagnosis ...
Graph Neural Networks Electrocardiography Neural Networks, Computer Signal Processing, Computer-Assisted Algorithms Deep Learning Cardiovascular Diseases Humans ROC Curve
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Self-supervised multi-modality learning for multi-label skin lesion classification.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clini...
Skin Neoplasms Dermoscopy Algorithms Humans Melanoma Neural Networks, Computer Cluster Analysis Diagnosis, Computer-Assisted Supervised Machine Learning Image Interpretation, Computer-Assisted Deep Learning
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Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Patients with metastatic bone disease are at risk of pathological femoral fractures and may require prophylactic surgical fixation. Current clinical decision support tools often overestimate fracture risk, leading to overtre...
Humans Tomography, X-Ray Computed Convolutional Neural Networks Neural Networks, Computer Femoral Fractures Finite Element Analysis Bone Neoplasms Femur
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Combating Medical Label Noise through more precise partition-correction and progressive hard-enhanced learning.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: Computer-aided diagnosis systems based on deep neural networks heavily rely on datasets with high-quality labels. However, manual annotation for lesion diagnosis relies on image features, often requiring professional experie...
Signal-To-Noise Ratio Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Machine Learning Diagnosis, Computer-Assisted
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A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: The aim of this study is to extract a patient-specific viscosity equation from photoplethysmography (PPG) data. An aging society has increased the need for remote, non-invasive health monitoring systems. However, the circula...
Blood Viscosity Photoplethysmography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Deep Learning Wearable Electronic Devices Humans
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Breaking through scattering: The H-Net CNN model for image retrieval.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND: In scattering media, traditional optical imaging techniques often find it significantly challenging to accurately reconstruct images owing to rapid light scattering. Thus, to address this problem, we propose a convolutional neural network...
Humans Image Processing, Computer-Assisted Optical Imaging Scattering, Radiation Neural Networks, Computer Algorithms
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Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVES: Heart disease prediction models often face stability challenges when applied to public datasets due to significant class imbalances, unlike the more balanced benchmark datasets. These imbalances can adversely affect various...
Risk Factors Machine Learning Humans Heart Diseases ROC Curve Neural Networks, Computer Algorithms
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Momentary dietary lapse prediction for obesity management: Developing the Eating Behaviour Lapse Inventory Survey Singapore (eBLISS) and a machine learning lapse prediction model.

Computer methods and programs in biomedicine May 30, 2025
BACKGROUND: As the obesity prevalence continues to rise, effective interventions that promote dietary adherence and address the intricate array of factors contributing to dietary lapses are warranted.
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